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In IRRI 146 background, a whole-genome survey of 96 BC3F1 plants using 116 polymorphic SSR markers that covered all chromosomes was conducted.
A genetic linkage map of Junam and Wonseadaesoo was constructed with 135 polymorphic markers that covered a total length of 2134 cM with an average interval of 15.8 cM (Additional file 1: Figure S1).
The consensus map consisted of 518 markers that covered a total of 1093.9 cM.
This map contained 183 SNP markers that covered the entire genome, with an average interval of 7.5 cM (Fig. 3).
HG5 contained 222 markers that covered a distance of 846.6 cM with an average distance of 3.8 cM between markers.
Of the 2132 polymorphic markers that covered more than 80% of the tetraploid cotton genome according to the high density consensus map [ 43], we selected 1582 markers.
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Genomic selection (GS) uses genetic markers that cover the whole genome to predict genomic estimated breeding values (GEBV).
The ideal molecular marker technique should generate hundreds of molecular markers that cover the entire genome in a single, simple and reliable experiment [ 43].
GWAS use dense maps of genetic markers that cover the human genome to look for allele frequency differences between cases and controls.
Population genomic studies that search for associations between markers and quantitative traits require a large number of genetic markers [ 1, 2], often using hybridization approaches based on dense panels of SNP markers that cover the genome.
These arrays contain 733,202 markers that cover the entire human genome with a median spacing of 2.1 kb and provide an average effective resolution of ~20 kb (i.e. 10 consecutive markers).
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